https://github.com/datax-package/latexdatax.py

https://github.com/datax-package/latexdatax.py

latex python

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/datax-package/latexdatax.py
• Owner: Datax-package
• License: mit
• Created: 2020-11-22T17:33:09.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2022-08-22T08:41:28.000Z (over 2 years ago)
• Last Synced: 2024-11-15T10:25:02.638Z (about 1 month ago)
• Topics: latex, python
• Language: Python
• Homepage: https://pypi.org/project/LaTeXDatax
• Size: 8.79 KB
• Stars: 1
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# LaTeXDatax.py

Import calculated values from a python script into a LaTeX document. This is a

python interface for [the datax LaTeX package

[ctan]](https://ctan.org/pkg/datax).

## Installation

```

pip install LaTeXDatax

```

## Usage

In a python script:

```python

from LaTeXDatax import datax

datax(

		filename = "data.tex",

		a = "Literal string",

		b = 3.141592,

		c = (3.141592,"\\meter"),

		d = (3.141592,"\\meter","%.2g"),

		e = (3.141592,"%.2g"),

     )

```

In the LaTeX document:

```tex

\documentclass{article}

\usepackage{siunitx}

\usepackage{datax}

\begin{document}

	The length was measured as \(d=\datax{d}\).

\end{document}

```

If you want to save a dictionary of variables, you can use the double splat

operator:

```python

variables = {

		"a" : "Literal string",

		"b" : 3.141592,

		"c" : (3.141592,"\\meter"),

		"d" : (3.141592,"\\meter","%.2g"),

		"e" : (3.141592,"%.2g"),

    }

datax(filename="data.tex", **variables) # Note the asterisks

```

## Pint integration

```python

from pint import Quantity

from LaTeXDatax import datax

datax(filename = "data.tex", E = Quantity(24,"kg m / s^2"))

```

Works as you would hope, in large part because of how well

[pint](https://pint.readthedocs.io/) implements siunitx strings. Hat off.

## Looking for contributors

I don't know python very well. This package works, but if you have ideas for

how to improve it, or you spot some python faux pas, feel free to make a PR or

get in touch!